Expert Panel: AI Governance in Practice: Balancing Innovation, Risk, and Responsibility
Webinar Speaker: Cal Al-Dhubaib, TDWI Faculty Member
Date: Monday, February 2, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As organizations increase their use of AI, the need for effective AI governance has become much more important. TDWI research finds that, unsurprisingly, AI governance is only just beginning in most enterprises. While effective data governance provides a foundation for AI governance, AI governance raises its own challenges.
For instance, in addition to overseeing the quality and integrity of data inputs and outputs, AI governance must also monitor fairness, bias, transparency, and explainability, which are key to ensuring responsible outcomes. AI governance also deals with a new asset that is just as important as the data—the code that constitutes the models. These models must be versioned, monitored, and updated, plus meet an evolving list of compliance requirements.
In this expert panel webinar, we’ll explore how organizations are developing practical frameworks for AI governance that balance innovation, risk, and responsibility and the tools that can help. Topics include:
- Key differences between data governance and AI governance
- Approaches for governing data, models, and code
- Strategies for managing bias, fairness, and explainability
- Examples of governance tools and frameworks supporting responsible AI innovation
Guest Speaker
Dave Mariani
Founder & Chief Technology Officer
AtScale
Dave is the founder of AtScale and is the Chief Technology Officer. Prior to AtScale, he was VP of Engineering at Klout and at Yahoo! where he managed some of the world’s biggest data and analytics challenges. Mariani is a Big Data visionary and serial entrepreneur.
Cal Al-Dhubaib
Head of AI & Data Science
Further
Cal Al-Dhubaib is a globally recognized data scientist, entrepreneur, and innovator in responsible artificial intelligence, specializing in heavily regulated sectors such as healthcare, energy, and defense. He leads AI and Data Science at Further, a privacy-first data, analytics, and AI company supporting over 100 of the Fortune 500. Cal founded and scaled Pandata, known for responsible AI design and development. Under his guidance, Pandata worked with high-profile clients including Cleveland Clinic, Progressive Insurance, and Parker Hannifin, leading to its acquisition by Further in 2024.
Cal frequently speaks on topics including AI ethics, change management, data literacy, and the unique challenges of implementing AI solutions in regulated industries. His insights have been featured in noteworthy publications including Forbes, Nasdaq, VentureBeat, and Open Data Science. Cal has been recognized by Crain’s Cleveland as a Notable Immigrant Leader, Entrepreneur, and Technology Executive. In 2024, Al-Dubhaib was recognized by Crains Cleveland Business as one of the 40 most influential business leaders under the age of 40.